[tab] build_conda copy.sh (shellscript)
#!/bin/bash

BASE_DIR=""

if [ -z "$BASE_DIR" ]; then
    echo "BASE_DIR is not set. Please set it to proceed with the installation."
    exit 1
fi

# create conda
yes '' | "${SHELL}" <(curl -L micro.mamba.pm/install.sh)
export PS1=tmp
mkdir -p $BASE_DIR/.cargo/
touch $BASE_DIR/.cargo/env
source ~/.bashrc

micromamba create -n miles python=3.12 pip -c conda-forge -y
micromamba activate miles
export CUDA_HOME="$CONDA_PREFIX"
export CPATH=$CUDA_HOME/targets/x86_64-linux/include:$CPATH

cd $BASE_DIR

# install cuda 12.9 as it's the default cuda version for torch
micromamba install -n miles cuda cuda-nvtx cuda-nvtx-dev nccl -c nvidia/label/cuda-12.9.1 -y
micromamba install -n miles -c conda-forge cudnn -y

# prevent installing cuda 13.0 for sglang
pip install cuda-python==12.9.1
pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu129

# install sglang
git clone https://github.com/sgl-project/sglang.git
cd sglang
git checkout 303cc957e62384044dfa8e52d7d8af8abe12f0ac
# Install the python packages
pip install -e "python[all]"


pip install cmake ninja

# flash attn
cd $BASE_DIR
pip install flash_attn_3 --find-links https://windreamer.github.io/flash-attention3-wheels/cu129_torch280 --extra-index-url https://download.pytorch.org/whl/cu129

# flash attn
# the newest version megatron supports is v2.7.4.post1
# MAX_JOBS=64 pip -v install flash-attn==2.7.4.post1 --no-build-isolation
pip install https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.3.18/flash_attn-2.7.4%2Bcu128torch2.8-cp312-cp312-linux_x86_64.whl

pip install git+https://github.com/ISEEKYAN/mbridge.git@89eb10887887bc74853f89a4de258c0702932a1c --no-deps
pip install --no-build-isolation "transformer_engine[pytorch]==2.8.0" --no-cache-dir
pip install flash-linear-attention==0.4.0
NVCC_APPEND_FLAGS="--threads 4" \
pip -v install --disable-pip-version-check --no-cache-dir \
  --no-build-isolation \
  --config-settings "--build-option=--cpp_ext --cuda_ext --parallel 8" git+https://github.com/NVIDIA/apex.git@10417aceddd7d5d05d7cbf7b0fc2daad1105f8b4

git clone https://github.com/NVIDIA/Megatron-LM.git --recursive && \
    cd Megatron-LM && git checkout ${MEGATRON_COMMIT} && \
    pip install -e .

pip install git+https://github.com/fzyzcjy/torch_memory_saver.git@9b8b788fdeb9c2ee528183214cef65a99b71e7d5 --no-cache-dir --force-reinstall
pip install git+https://github.com/fzyzcjy/Megatron-Bridge.git@dev_rl --no-build-isolation
pip install nvidia-modelopt[torch]>=0.37.0 --no-build-isolation

# megatron
cd $BASE_DIR
git clone https://github.com/NVIDIA/Megatron-LM.git --recursive && \
  cd Megatron-LM/ && git checkout core_v0.14.0 && \
  pip install -e .

pip install sglang_router
pip install ring_flash_attn
pip install -U "ray[data,train,tune,serve]"
pip install pylatexenc

# install miles and apply patches

# if miles does not exist locally, clone it
if [ ! -d "$BASE_DIR/miles" ]; then
  cd $BASE_DIR
  git clone  https://github.com/radixark/miles.git
  cd miles/
  export MILES_DIR=$BASE_DIR/miles
  pip install -e .
else
  export MILES_DIR=$BASE_DIR/
  pip install -e .
fi

# apply patch
cd $BASE_DIR/sglang
git apply $MILES_DIR/docker/patch/v0.5.5.post1/sglang.patch
cd $BASE_DIR/Megatron-LM
git apply $MILES_DIR/docker/patch/v0.5.5.post1/megatron.patch